Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time

Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time

Abstract Background Hyperglycemic crises are associated with high morbidity and mortality. Previous studies have proposed methods to predict adverse outcomes of patients in hyperglycemic crises; however, artificial intelligence (AI) has never been used to predict adverse outcomes. We implemented an...

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Bibliographic Details
Main Authors: Chin-Chuan Hsu, Yuan Kao, Chien-Chin Hsu, Chia-Jung Chen, Shu-Lien Hsu, Tzu-Lan Liu, Hung-Jung Lin, Jhi-Joung Wang, Chung-Feng Liu, Chien-Cheng Huang
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Endocrine Disorders
Subjects:
Adverse outcome
Artificial intelligence
Emergency department
Hyperglycemic crises
Intensive care unit
Machine learning
Online Access:https://doi.org/10.1186/s12902-023-01437-9

Internet

https://doi.org/10.1186/s12902-023-01437-9

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